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Fabrication and shape detection of a catheter using fiber Bragg grating

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Abstract

Considering the spatial position and shape detection properties of the fiber Bragg grating (FBG) curve sensor used in the human body, the positioning accuracy of the FBG curve sensor plays a major role in the pre-diagnosis and treatment of diseases. We present a new type of shape-sensing catheter (diameter of 2.0 mm and length of 810 mm) that is integrated with an array of four optical fibers, where each contains five nodes, to track the shape. Firstly, the distribution of the four orthogonal fiber gratings is wound around a nitinol wire using novel packaging technology, and the spatial curve shape is rebuilt based on the positioning of discrete points in space. An experimental platform is built, and then a reconstruction algorithm for coordinate point fitting of the Frenet frame is used to perform the reconstruction experiment on millimeter paper. The results show that, compared with those in previous studies, in 2D test, the maximum relative error for the end position is reduced to 2.74%, and in 3D reconstruction experiment, the maximum shape error is 3.43%, which verifies both the applicability of the sensor and the feasibility of the proposed method. The results reported here will provide an academic foundation and the key technologies required for navigation and positioning of non-invasive and minimally invasive surgical robots, intelligent structural health detection, and search and rescue operations in debris.

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References

  1. Kulatunga TN, Ranasinghe RAGP, Ranathungar RAC et al (2013) Real time endoscope trajectory tracking in the 3D space using MEMS sensors. In: IEEE 8th international conference on industrial and information systems, pp 605–609

  2. Shah SG, Brooker JC, Williams CB et al (2000) Effect of magnetic endoscope imaging on colonoscopy performance: a randomised controlled trial. Lancet 356(9243):1718–1722

    Article  Google Scholar 

  3. Diamas G, Spyrou E et al (2017) Intelligent visual localization of wireless capsule endoscopes enhanced by color information. Comput Biol Med 89:429–440

    Article  Google Scholar 

  4. Yang L, Wang J, Ando T et al (2015) Vision-based endoscope tracking for 3D ultrasound image-guided surgical navigation. Comput Med Imaging Graph 40:205–216

    Article  Google Scholar 

  5. Tiwari U, Mishra V, Jain S et al (2009) Health monitoring of steel and concrete structures using fibre Bragg grating sensors. Curr Sci 97:1539–1542

    Google Scholar 

  6. Qian JW, Zheng QH, Zhang LW et al (2004) Spatial shape sensing and reconstruction of progressive endoscopes. Opt Precis Eng 12(5):518–524

    Google Scholar 

  7. Roesthuis RJ, Kemp M et al (2014) Three-dimensional needle shape reconstruction using an array of fiber Bragg grating sensors. IEEE/ASME Trans Mechatron 19(4):1115–1126

    Article  Google Scholar 

  8. Shi C, Giannarou S, Lee SL et al (2014) Simultaneous catheter and environment modeling for trans-catheter aortic valve implantation. In: Proceedings of IEEE/RSJ international conference on intelligent robot and systems, pp 2024–2029

  9. Shi CY, Luo XB, Qi P et al (2017) Shape sensing techniques for continuum robots in minimally invasive surgery: a survey. IEEE Trans Biomed Eng 64(8):1665–1678

    Article  Google Scholar 

  10. Zhang LW, Qian JW (2005) On SDM/WDM FBG sensor net for shape detection of endoscope. In: IEEE 2005 conference on mechatronics and automation, ICMA2005, pp 1986–1991

  11. Wu ZT, Zhang YN, Shen LY et al (2017) Research on fiber Bragg grating shape sensor. Metrol Test Technol 44(5):56–58

    Google Scholar 

  12. Yi XH, Qian JW, Zhang YN et al (2007) 3-D shape display of intelligent colonoscope based on EBG sensors array and binocular. IEEE/ICME Int Conf Complex Med Eng 2007:14–19

    Google Scholar 

  13. Zhang YN, Xiao H, Shen LY (2016) Coordinate point fitting in FBG curve reconstruction algorithm. Opt Precis Eng 24(9):2050–2157

    Google Scholar 

  14. Jiang DS, Fang W (2003) Fiber Bragg grating and its application in sensing. Sens World 7:22–26

    Google Scholar 

  15. Álvarez-Botero G, Barón FE, Cano CC et al (2017) Optical sensing using fiber Bragg gratings: fundamentals and applications. IEEE Instrum Meas Mag 20(2):33–38

    Article  Google Scholar 

  16. Payo I, Feliu V, Cortázar OD (2009) Fibre Bragg grating (FBG) sensor system for highly flexible single-link robots. Sens Actuators A 150(1):24–39

    Article  Google Scholar 

  17. Shen LY, Xiao H, Qian JW et al (2014) Shape reconstruction and visualization of intelligent endoscope. Chin J Sci Instrum 35(12):2725–2730

    Google Scholar 

  18. Yi JC, Zhu XJ, Zhang YN et al (2012) Spatial shape reconstruction using orthogonal fiber Bragg grating sensor array. Mechatronics 22(6):679–687

    Article  Google Scholar 

  19. Hong CY, Zhang YF, Zhang MX et al (2016) Application of FBG sensors for geotechnical health monitoring, a review of sensor design, implementation methods and packaging techniques. Sens Actuators A Phys 244:184–197

    Article  Google Scholar 

  20. Zhang LW, Qian JW, Zhang YN et al (2006) Novel FBG sensors net system for real-time shape detection of intelligent endoscope. Chin Int J Mech Eng 42(2):177–192

    Article  Google Scholar 

  21. Otsuka K, Wayman CM (1998) Shape memory materials. Cambridge University Press, Cambridge

    Google Scholar 

  22. Dulieu-Barton JM, Quinn S, Ye CC (2009) Optical fiber Bragg grating strain sensors: modern stress and strain analysis. Eureka Mag 1–2

  23. Williams E, Shaw G, Elahinia M (2010) Control of an automotive shape memory alloy mirror actuator. Mechatronics 20(5):527–534

    Article  Google Scholar 

  24. Zhang XG, Li XC (2008) Fabrication and characterization of optical microring sensors on metal substrates. Micromech Microeng 181–187

  25. Krishnamurthy S (2006) Pre-stressed advanced fiber reinforced composites fabrication and mechanical performance, Dissertation, Cranfield University

  26. Mei X, Huang J (2008) Differential geometry, 4th edn. Higher Education Press, Beijing

    Google Scholar 

  27. Wang Q, Zhao WM (2018) A comprehensive review of lossy mode resonance-based fiber optic sensors. Opt Lasers Eng 100:47–60

    Article  Google Scholar 

  28. Jing JY, Wang Q, Zhao WM et al (2019) Long-range surface plasmon resonance and its sensing applications: a review. Opt Lasers Eng 112:103–118

    Article  Google Scholar 

  29. Wei Y, Liu SL (2019) Numerical analysis of the dynamic behavior of a rotor-bearing-brush seal system with bristle interference. J Mech Sci Technol 33(8):3895–3903

    Article  Google Scholar 

Download references

Acknowledgements

This work was jointly supported by the National Nature Science Foundation of China (Grant No. 51275282) and Major Basic Projects of the Shanghai Science and Technology Commission (Grant No. 18JC1410402).

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Correspondence to Jin-Wu Qian.

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Chen, XY., Zhang, YN., Shen, LY. et al. Fabrication and shape detection of a catheter using fiber Bragg grating. Adv. Manuf. 8, 107–118 (2020). https://doi.org/10.1007/s40436-019-00284-z

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  • DOI: https://doi.org/10.1007/s40436-019-00284-z

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